Overview

Dataset statistics

Number of variables20
Number of observations5620
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory878.2 KiB
Average record size in memory160.0 B

Variable types

NUM18
BOOL2

Reproduction

Analysis started2020-08-25 01:41:52.785100
Analysis finished2020-08-25 01:42:47.894623
Duration55.11 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

input1 has constant value "0.0" Constant
input17 is highly skewed (γ1 = 32.21437116) Skewed
input53 has 366 (6.5%) zeros Zeros
input59 has 1288 (22.9%) zeros Zeros
input45 has 1322 (23.5%) zeros Zeros
input6 has 1611 (28.7%) zeros Zeros
input37 has 822 (14.6%) zeros Zeros
input17 has 5607 (99.8%) zeros Zeros
input13 has 217 (3.9%) zeros Zeros
input26 has 2787 (49.6%) zeros Zeros
input62 has 1494 (26.6%) zeros Zeros
input10 has 3228 (57.4%) zeros Zeros
input41 has 5572 (99.1%) zeros Zeros
input14 has 1111 (19.8%) zeros Zeros
input35 has 1422 (25.3%) zeros Zeros
input51 has 1100 (19.6%) zeros Zeros
input4 has 162 (2.9%) zeros Zeros
input18 has 2745 (48.8%) zeros Zeros
input50 has 4273 (76.0%) zeros Zeros
target has 554 (9.9%) zeros Zeros

Variables

input53
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.65338078291815
Minimum0.0
Maximum16.0
Zeros366
Zeros (%)6.5%
Memory size44.0 KiB
2020-08-25T01:42:47.940983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.31286313
Coefficient of variation (CV)0.5503629505
Kurtosis-1.192034785
Mean9.653380783
Median Absolute Deviation (MAD)5
Skewness-0.3412180731
Sum54252
Variance28.22651464
2020-08-25T01:42:48.061943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16116120.7%
 
153876.9%
 
03666.5%
 
83556.3%
 
143376.0%
 
43335.9%
 
133165.6%
 
123155.6%
 
52865.1%
 
72624.7%
 
102604.6%
 
92574.6%
 
62394.3%
 
112284.1%
 
12033.6%
 
21743.1%
 
31412.5%
 
ValueCountFrequency (%) 
03666.5%
 
12033.6%
 
21743.1%
 
31412.5%
 
43335.9%
 
52865.1%
 
62394.3%
 
72624.7%
 
83556.3%
 
92574.6%
 
ValueCountFrequency (%) 
16116120.7%
 
153876.9%
 
143376.0%
 
133165.6%
 
123155.6%
 
112284.1%
 
102604.6%
 
92574.6%
 
83556.3%
 
72624.7%
 

input59
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.760498220640569
Minimum0.0
Maximum16.0
Zeros1288
Zeros (%)22.9%
Memory size44.0 KiB
2020-08-25T01:42:48.186481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q310
95-th percentile15
Maximum16
Range16
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.021144659
Coefficient of variation (CV)0.8716511083
Kurtosis-0.999773682
Mean5.760498221
Median Absolute Deviation (MAD)4
Skewness0.4681571338
Sum32374
Variance25.21189368
2020-08-25T01:42:48.309868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0128822.9%
 
23736.6%
 
53396.0%
 
13396.0%
 
33255.8%
 
43245.8%
 
63145.6%
 
73085.5%
 
82945.2%
 
102644.7%
 
92544.5%
 
112454.4%
 
132163.8%
 
122043.6%
 
151983.5%
 
161973.5%
 
141382.5%
 
ValueCountFrequency (%) 
0128822.9%
 
13396.0%
 
23736.6%
 
33255.8%
 
43245.8%
 
53396.0%
 
63145.6%
 
73085.5%
 
82945.2%
 
92544.5%
 
ValueCountFrequency (%) 
161973.5%
 
151983.5%
 
141382.5%
 
132163.8%
 
122043.6%
 
112454.4%
 
102644.7%
 
92544.5%
 
82945.2%
 
73085.5%
 

input1
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.0 KiB
0
5620
ValueCountFrequency (%) 
05620100.0%
 

input45
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.841814946619217
Minimum0.0
Maximum16.0
Zeros1322
Zeros (%)23.5%
Memory size44.0 KiB
2020-08-25T01:42:48.433967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q314
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.298760651
Coefficient of variation (CV)0.8032274026
Kurtosis-1.612896694
Mean7.841814947
Median Absolute Deviation (MAD)7
Skewness0.004935581953
Sum44071
Variance39.67438574
2020-08-25T01:42:48.554167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132223.5%
 
16106018.9%
 
153416.1%
 
12985.3%
 
122514.5%
 
132484.4%
 
142474.4%
 
82143.8%
 
42133.8%
 
22043.6%
 
91973.5%
 
101903.4%
 
31853.3%
 
111833.3%
 
51612.9%
 
61562.8%
 
71502.7%
 
ValueCountFrequency (%) 
0132223.5%
 
12985.3%
 
22043.6%
 
31853.3%
 
42133.8%
 
51612.9%
 
61562.8%
 
71502.7%
 
82143.8%
 
91973.5%
 
ValueCountFrequency (%) 
16106018.9%
 
153416.1%
 
142474.4%
 
132484.4%
 
122514.5%
 
111833.3%
 
101903.4%
 
91973.5%
 
82143.8%
 
71502.7%
 

input6
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.593772241992882
Minimum0.0
Maximum16.0
Zeros1611
Zeros (%)28.7%
Memory size44.0 KiB
2020-08-25T01:42:48.675420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q310
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.631148942
Coefficient of variation (CV)1.006681842
Kurtosis-1.103530973
Mean5.593772242
Median Absolute Deviation (MAD)4
Skewness0.6032715441
Sum31437
Variance31.70983841
2020-08-25T01:42:48.794950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0161128.7%
 
15059.0%
 
164407.8%
 
23676.5%
 
32825.0%
 
42514.5%
 
52504.4%
 
122444.3%
 
62203.9%
 
82173.9%
 
152123.8%
 
132003.6%
 
101893.4%
 
71773.1%
 
141562.8%
 
91542.7%
 
111452.6%
 
ValueCountFrequency (%) 
0161128.7%
 
15059.0%
 
23676.5%
 
32825.0%
 
42514.5%
 
52504.4%
 
62203.9%
 
71773.1%
 
82173.9%
 
91542.7%
 
ValueCountFrequency (%) 
164407.8%
 
152123.8%
 
141562.8%
 
132003.6%
 
122444.3%
 
111452.6%
 
101893.4%
 
91542.7%
 
82173.9%
 
71773.1%
 

input37
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.332918149466192
Minimum0.0
Maximum16.0
Zeros822
Zeros (%)14.6%
Memory size44.0 KiB
2020-08-25T01:42:48.918511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median13
Q316
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.92391262
Coefficient of variation (CV)0.5733049013
Kurtosis-1.051516777
Mean10.33291815
Median Absolute Deviation (MAD)3
Skewness-0.6786953098
Sum58071
Variance35.09274073
2020-08-25T01:42:49.032403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16170330.3%
 
082214.6%
 
154417.8%
 
143596.4%
 
123235.7%
 
133145.6%
 
82294.1%
 
102103.7%
 
111963.5%
 
91823.2%
 
41462.6%
 
71412.5%
 
61222.2%
 
11202.1%
 
51202.1%
 
21011.8%
 
3911.6%
 
ValueCountFrequency (%) 
082214.6%
 
11202.1%
 
21011.8%
 
3911.6%
 
41462.6%
 
51202.1%
 
61222.2%
 
71412.5%
 
82294.1%
 
91823.2%
 
ValueCountFrequency (%) 
16170330.3%
 
154417.8%
 
143596.4%
 
133145.6%
 
123235.7%
 
111963.5%
 
102103.7%
 
91823.2%
 
82294.1%
 
71412.5%
 

input17
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count5
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004270462633451958
Minimum0.0
Maximum5.0
Zeros5607
Zeros (%)99.8%
Memory size44.0 KiB
2020-08-25T01:42:49.149749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1049559513
Coefficient of variation (CV)24.57718527
Kurtosis1227.941133
Mean0.004270462633
Median Absolute Deviation (MAD)0
Skewness32.21437116
Sum24
Variance0.01101575172
2020-08-25T01:42:49.249641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0560799.8%
 
170.1%
 
230.1%
 
32< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
0560799.8%
 
170.1%
 
230.1%
 
32< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
32< 0.1%
 
230.1%
 
170.1%
 
0560799.8%
 

input13
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.514412811387901
Minimum0.0
Maximum16.0
Zeros217
Zeros (%)3.9%
Memory size44.0 KiB
2020-08-25T01:42:49.355880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median11
Q315
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.788679638
Coefficient of variation (CV)0.4554395689
Kurtosis-0.747240908
Mean10.51441281
Median Absolute Deviation (MAD)4
Skewness-0.5694278588
Sum59091
Variance22.93145267
2020-08-25T01:42:49.668195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16120321.4%
 
84488.0%
 
154147.4%
 
123967.0%
 
143736.6%
 
133686.5%
 
113526.3%
 
103386.0%
 
92774.9%
 
42474.4%
 
52264.0%
 
02173.9%
 
72173.9%
 
62063.7%
 
11142.0%
 
21132.0%
 
31112.0%
 
ValueCountFrequency (%) 
02173.9%
 
11142.0%
 
21132.0%
 
31112.0%
 
42474.4%
 
52264.0%
 
62063.7%
 
72173.9%
 
84488.0%
 
92774.9%
 
ValueCountFrequency (%) 
16120321.4%
 
154147.4%
 
143736.6%
 
133686.5%
 
123967.0%
 
113526.3%
 
103386.0%
 
92774.9%
 
84488.0%
 
72173.9%
 

input26
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3784697508896797
Minimum0.0
Maximum16.0
Zeros2787
Zeros (%)49.6%
Memory size44.0 KiB
2020-08-25T01:42:49.789768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile8
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.105775835
Coefficient of variation (CV)1.305787401
Kurtosis0.5410083803
Mean2.378469751
Median Absolute Deviation (MAD)1
Skewness1.191070465
Sum13367
Variance9.645843538
2020-08-25T01:42:49.906062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0278749.6%
 
14197.5%
 
43997.1%
 
23335.9%
 
53295.9%
 
33285.8%
 
62744.9%
 
82514.5%
 
72294.1%
 
9991.8%
 
10701.2%
 
11490.9%
 
12350.6%
 
1370.1%
 
1550.1%
 
1450.1%
 
161< 0.1%
 
ValueCountFrequency (%) 
0278749.6%
 
14197.5%
 
23335.9%
 
33285.8%
 
43997.1%
 
53295.9%
 
62744.9%
 
72294.1%
 
82514.5%
 
9991.8%
 
ValueCountFrequency (%) 
161< 0.1%
 
1550.1%
 
1450.1%
 
1370.1%
 
12350.6%
 
11490.9%
 
10701.2%
 
9991.8%
 
82514.5%
 
72294.1%
 

input62
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7208185053380785
Minimum0.0
Maximum16.0
Zeros1494
Zeros (%)26.6%
Memory size44.0 KiB
2020-08-25T01:42:50.025577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q312
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.815563623
Coefficient of variation (CV)0.8653058579
Kurtosis-1.420394909
Mean6.720818505
Median Absolute Deviation (MAD)6
Skewness0.2354812113
Sum37771
Variance33.82078025
2020-08-25T01:42:50.144472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0149426.6%
 
165489.8%
 
123165.6%
 
12734.9%
 
82734.9%
 
152694.8%
 
32534.5%
 
92454.4%
 
102384.2%
 
132304.1%
 
62183.9%
 
142173.9%
 
52153.8%
 
22153.8%
 
112073.7%
 
72073.7%
 
42023.6%
 
ValueCountFrequency (%) 
0149426.6%
 
12734.9%
 
22153.8%
 
32534.5%
 
42023.6%
 
52153.8%
 
62183.9%
 
72073.7%
 
82734.9%
 
92454.4%
 
ValueCountFrequency (%) 
165489.8%
 
152694.8%
 
142173.9%
 
132304.1%
 
123165.6%
 
112073.7%
 
102384.2%
 
92454.4%
 
82734.9%
 
72073.7%
 

input57
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.0 KiB
0
5618
1
 
2
ValueCountFrequency (%) 
05618> 99.9%
 
12< 0.1%
 

input10
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9711743772241992
Minimum0.0
Maximum16.0
Zeros3228
Zeros (%)57.4%
Memory size44.0 KiB
2020-08-25T01:42:50.265720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.098815435
Coefficient of variation (CV)1.572065603
Kurtosis2.257126258
Mean1.971174377
Median Absolute Deviation (MAD)0
Skewness1.70151293
Sum11078
Variance9.602657101
2020-08-25T01:42:50.387674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0322857.4%
 
14207.5%
 
23566.3%
 
33075.5%
 
42925.2%
 
52003.6%
 
71793.2%
 
61773.1%
 
81542.7%
 
10791.4%
 
9791.4%
 
11661.2%
 
12360.6%
 
14190.3%
 
13180.3%
 
1590.2%
 
161< 0.1%
 
ValueCountFrequency (%) 
0322857.4%
 
14207.5%
 
23566.3%
 
33075.5%
 
42925.2%
 
52003.6%
 
61773.1%
 
71793.2%
 
81542.7%
 
9791.4%
 
ValueCountFrequency (%) 
161< 0.1%
 
1590.2%
 
14190.3%
 
13180.3%
 
12360.6%
 
11661.2%
 
10791.4%
 
9791.4%
 
81542.7%
 
71793.2%
 

input41
Real number (ℝ≥0)

ZEROS

Distinct count8
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021530249110320285
Minimum0.0
Maximum7.0
Zeros5572
Zeros (%)99.1%
Memory size44.0 KiB
2020-08-25T01:42:50.511177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2735263513
Coefficient of variation (CV)12.70428177
Kurtosis284.641536
Mean0.02153024911
Median Absolute Deviation (MAD)0
Skewness15.79660367
Sum121
Variance0.07481666486
2020-08-25T01:42:50.623444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0557299.1%
 
1160.3%
 
2130.2%
 
370.1%
 
460.1%
 
530.1%
 
62< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
0557299.1%
 
1160.3%
 
2130.2%
 
370.1%
 
460.1%
 
530.1%
 
62< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
62< 0.1%
 
530.1%
 
460.1%
 
370.1%
 
2130.2%
 
1160.3%
 
0557299.1%
 

input14
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.25729537366548
Minimum0.0
Maximum16.0
Zeros1111
Zeros (%)19.8%
Memory size44.0 KiB
2020-08-25T01:42:50.734765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q314
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.973065708
Coefficient of variation (CV)0.7233682989
Kurtosis-1.499134639
Mean8.257295374
Median Absolute Deviation (MAD)6
Skewness-0.1372033579
Sum46406
Variance35.67751395
2020-08-25T01:42:50.850032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0111119.8%
 
1686115.3%
 
153937.0%
 
123366.0%
 
133325.9%
 
143055.4%
 
82885.1%
 
112444.3%
 
42414.3%
 
102133.8%
 
22003.6%
 
11913.4%
 
71903.4%
 
91853.3%
 
31853.3%
 
51763.1%
 
61693.0%
 
ValueCountFrequency (%) 
0111119.8%
 
11913.4%
 
22003.6%
 
31853.3%
 
42414.3%
 
51763.1%
 
61693.0%
 
71903.4%
 
82885.1%
 
91853.3%
 
ValueCountFrequency (%) 
1686115.3%
 
153937.0%
 
143055.4%
 
133325.9%
 
123366.0%
 
112444.3%
 
102133.8%
 
91853.3%
 
82885.1%
 
71903.4%
 

input35
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.661921708185053
Minimum0.0
Maximum16.0
Zeros1422
Zeros (%)25.3%
Memory size44.0 KiB
2020-08-25T01:42:50.969301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q314
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)14

Descriptive statistics

Standard deviation6.279904804
Coefficient of variation (CV)0.8196252903
Kurtosis-1.598817028
Mean7.661921708
Median Absolute Deviation (MAD)7
Skewness0.03659306395
Sum43060
Variance39.43720435
2020-08-25T01:42:51.105108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0142225.3%
 
16101218.0%
 
123285.8%
 
153105.5%
 
82754.9%
 
12654.7%
 
132274.0%
 
142264.0%
 
22163.8%
 
71993.5%
 
111773.1%
 
91723.1%
 
31703.0%
 
41632.9%
 
51602.8%
 
101582.8%
 
61402.5%
 
ValueCountFrequency (%) 
0142225.3%
 
12654.7%
 
22163.8%
 
31703.0%
 
41632.9%
 
51602.8%
 
61402.5%
 
71993.5%
 
82754.9%
 
91723.1%
 
ValueCountFrequency (%) 
16101218.0%
 
153105.5%
 
142264.0%
 
132274.0%
 
123285.8%
 
111773.1%
 
101582.8%
 
91723.1%
 
82754.9%
 
71993.5%
 

input51
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.753202846975089
Minimum0.0
Maximum16.0
Zeros1100
Zeros (%)19.6%
Memory size44.0 KiB
2020-08-25T01:42:51.230851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q313
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.661582243
Coefficient of variation (CV)0.7302249606
Kurtosis-1.412992159
Mean7.753202847
Median Absolute Deviation (MAD)5
Skewness-0.05180383603
Sum43573
Variance32.0535135
2020-08-25T01:42:51.346829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0110019.6%
 
165579.9%
 
113386.0%
 
123366.0%
 
143325.9%
 
153305.9%
 
83135.6%
 
132945.2%
 
92534.5%
 
102514.5%
 
42424.3%
 
72334.1%
 
62213.9%
 
52183.9%
 
12123.8%
 
21973.5%
 
31933.4%
 
ValueCountFrequency (%) 
0110019.6%
 
12123.8%
 
21973.5%
 
31933.4%
 
42424.3%
 
52183.9%
 
62213.9%
 
72334.1%
 
83135.6%
 
92534.5%
 
ValueCountFrequency (%) 
165579.9%
 
153305.9%
 
143325.9%
 
132945.2%
 
123366.0%
 
113386.0%
 
102514.5%
 
92534.5%
 
83135.6%
 
72334.1%
 

input4
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.815480427046264
Minimum0.0
Maximum16.0
Zeros162
Zeros (%)2.9%
Memory size44.0 KiB
2020-08-25T01:42:51.464198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median13
Q315
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.255951795
Coefficient of variation (CV)0.3602013326
Kurtosis0.8167436814
Mean11.81548043
Median Absolute Deviation (MAD)2
Skewness-1.2419389
Sum66403
Variance18.11312568
2020-08-25T01:42:51.588420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16115520.6%
 
1570612.6%
 
1263711.3%
 
1462611.1%
 
1358810.5%
 
113436.1%
 
103025.4%
 
92294.1%
 
82113.8%
 
01622.9%
 
71172.1%
 
61102.0%
 
11081.9%
 
4911.6%
 
5821.5%
 
2811.4%
 
3721.3%
 
ValueCountFrequency (%) 
01622.9%
 
11081.9%
 
2811.4%
 
3721.3%
 
4911.6%
 
5821.5%
 
61102.0%
 
71172.1%
 
82113.8%
 
92294.1%
 
ValueCountFrequency (%) 
16115520.6%
 
1570612.6%
 
1462611.1%
 
1358810.5%
 
1263711.3%
 
113436.1%
 
103025.4%
 
92294.1%
 
82113.8%
 
71172.1%
 

input18
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5976868327402136
Minimum0.0
Maximum16.0
Zeros2745
Zeros (%)48.8%
Memory size44.0 KiB
2020-08-25T01:42:51.708226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile10
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.493297422
Coefficient of variation (CV)1.344772348
Kurtosis1.078751505
Mean2.597686833
Median Absolute Deviation (MAD)1
Skewness1.352594682
Sum14599
Variance12.20312688
2020-08-25T01:42:51.826222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0274548.8%
 
24027.2%
 
13937.0%
 
43576.4%
 
33456.1%
 
52474.4%
 
82374.2%
 
62274.0%
 
72203.9%
 
91132.0%
 
101071.9%
 
11771.4%
 
12741.3%
 
14260.5%
 
13230.4%
 
16160.3%
 
15110.2%
 
ValueCountFrequency (%) 
0274548.8%
 
13937.0%
 
24027.2%
 
33456.1%
 
43576.4%
 
52474.4%
 
62274.0%
 
72203.9%
 
82374.2%
 
91132.0%
 
ValueCountFrequency (%) 
16160.3%
 
15110.2%
 
14260.5%
 
13230.4%
 
12741.3%
 
11771.4%
 
101071.9%
 
91132.0%
 
82374.2%
 
72203.9%
 

input50
Real number (ℝ≥0)

ZEROS

Distinct count17
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7830960854092527
Minimum0.0
Maximum16.0
Zeros4273
Zeros (%)76.0%
Memory size44.0 KiB
2020-08-25T01:42:51.943190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.929464226
Coefficient of variation (CV)2.463892059
Kurtosis15.27022146
Mean0.7830960854
Median Absolute Deviation (MAD)0
Skewness3.532882522
Sum4401
Variance3.722832199
2020-08-25T01:42:52.057761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0427376.0%
 
14227.5%
 
22764.9%
 
32043.6%
 
41422.5%
 
5881.6%
 
7530.9%
 
6480.9%
 
8410.7%
 
9230.4%
 
10130.2%
 
1190.2%
 
1380.1%
 
1280.1%
 
1560.1%
 
1650.1%
 
141< 0.1%
 
ValueCountFrequency (%) 
0427376.0%
 
14227.5%
 
22764.9%
 
32043.6%
 
41422.5%
 
5881.6%
 
6480.9%
 
7530.9%
 
8410.7%
 
9230.4%
 
ValueCountFrequency (%) 
1650.1%
 
1560.1%
 
141< 0.1%
 
1380.1%
 
1280.1%
 
1190.2%
 
10130.2%
 
9230.4%
 
8410.7%
 
7530.9%
 

target
Real number (ℝ≥0)

ZEROS

Distinct count10
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.495195729537366
Minimum0
Maximum9
Zeros554
Zeros (%)9.9%
Memory size44.0 KiB
2020-08-25T01:42:52.171450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.868130706
Coefficient of variation (CV)0.6380435644
Kurtosis-1.221559595
Mean4.49519573
Median Absolute Deviation (MAD)2
Skewness0.005723041686
Sum25263
Variance8.226173747
2020-08-25T01:42:52.278575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
357210.2%
 
157110.2%
 
456810.1%
 
756610.1%
 
956210.0%
 
65589.9%
 
55589.9%
 
25579.9%
 
85549.9%
 
05549.9%
 
ValueCountFrequency (%) 
05549.9%
 
157110.2%
 
25579.9%
 
357210.2%
 
456810.1%
 
55589.9%
 
65589.9%
 
756610.1%
 
85549.9%
 
956210.0%
 
ValueCountFrequency (%) 
956210.0%
 
85549.9%
 
756610.1%
 
65589.9%
 
55589.9%
 
456810.1%
 
357210.2%
 
25579.9%
 
157110.2%
 
05549.9%
 

Interactions

2020-08-25T01:41:54.137071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:54.297968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:54.455651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:54.616622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:54.775696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:54.934331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.084314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.242666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.399918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.561214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.720726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:55.874052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.032461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.195351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.387260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.587836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.742466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:56.896863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:57.042047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:57.202862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:57.360975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:57.521573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:57.875332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.035371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.189853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.347590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.507555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.667606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.825671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:58.979454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.140388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.298796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.456626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.615620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.773531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:41:59.935544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.081045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.250071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.407800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.565669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.725778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:00.883504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.030175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.191819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.350686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.508192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.668295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.824384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:01.983823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:02.143982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:02.305094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:02.656460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:02.814837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:02.972249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.122459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.290252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.458772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.617589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.777799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:03.939362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.088223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.250030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.408406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.566206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.726368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:04.879820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.039129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.197649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.356961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.515014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.672235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.836704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:05.980705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.140605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.301175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.464878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.622682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.782891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:06.929204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:07.087713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:07.439184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:07.599408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:07.765086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:07.922476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.083028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.248859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.409173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.568087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.727632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:08.892664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.040264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.189196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.337010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.482259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.626642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.771614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:09.905425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:10.049723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:10.197226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:10.342832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:42:44.365900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:44.506369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:44.645146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:44.787154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:44.933477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.071696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.200135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.530757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.668105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.805835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:45.953449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.091500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.231719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.374096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.515249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.654111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.792902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:46.935534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:42:52.422087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:42:52.755204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:42:53.287579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:42:53.622538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:42:47.215351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:42:47.702883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

input53input59input1input45input6input37input17input13input26input62input57input10input41input14input35input51input4input18input50target
015.06.00.01.01.00.00.06.05.01.00.07.00.010.013.014.015.08.00.00
110.010.00.00.00.00.00.016.012.03.00.07.00.05.012.016.016.011.00.00
24.09.00.010.013.016.00.011.00.00.00.01.00.016.016.02.015.00.00.07
316.00.00.015.016.013.00.011.011.02.00.00.00.013.04.00.03.03.00.04
44.04.00.00.00.04.00.00.06.07.00.00.00.00.016.010.014.03.00.06
515.010.00.016.01.012.00.015.01.016.00.04.00.08.00.05.016.04.00.02
615.01.00.05.011.00.00.06.05.00.00.00.00.04.01.00.011.00.00.05
714.04.00.04.07.02.00.012.05.00.00.01.00.012.00.06.010.07.00.05
816.010.00.07.013.00.00.012.07.00.00.00.00.013.012.016.02.02.05.00
98.03.00.00.02.012.00.010.010.06.00.06.00.08.012.013.013.09.00.08

Last rows

input53input59input1input45input6input37input17input13input26input62input57input10input41input14input35input51input4input18input50target
561014.06.00.02.01.01.00.05.04.04.00.00.00.00.010.07.016.02.00.05
561114.00.00.016.06.010.00.015.04.09.00.00.00.02.015.07.01.00.01.04
561216.010.00.016.00.016.00.05.00.01.00.00.00.014.012.016.016.00.03.08
561316.06.00.016.00.016.00.05.00.03.00.00.00.013.01.011.012.00.00.08
561416.00.00.016.04.015.00.012.07.04.00.00.00.00.016.04.03.00.00.04
56157.02.00.00.06.04.00.012.00.09.00.01.00.016.00.05.010.04.00.09
561616.06.00.09.011.00.00.012.04.06.00.00.00.016.016.015.016.03.01.00
561715.02.00.016.01.016.00.08.00.06.00.00.00.02.09.015.011.00.00.08
56187.05.00.00.00.014.00.016.05.012.00.00.00.015.05.04.010.04.00.09
56198.08.00.04.01.015.00.06.00.012.00.02.00.01.012.016.014.00.08.08